# Llama 3.2 90B vs Phi-4

> Phi-4 is the stronger model overall, scoring 31.2 to 27.5 on the Noometry Index.

- Canonical page: https://noometry.com/compare/llama-3-2-90b-vs-phi-4
- Last updated: 2026-10-10
- Shared benchmarks: 6

## Summary

- They share 6 benchmarks with published results for both. Llama 3.2 90B scores higher in 2 categories and Phi-4 in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Phi-4 leads 32.6 to 21.7.
- The biggest single-benchmark swing is MATH Level 5: 39.4% for Llama 3.2 90B and 64.9% for Phi-4.

## Snapshot

| | Llama 3.2 90B | Phi-4 |
|---|---|---|
| Provider | Meta | Microsoft |
| Noometry Index | 27.5 | 31.2 |
| Rank | 331 | 279 |
| Context | — | 128K |
| Input $/M | — | $0.07 |
| Output $/M | — | $0.14 |
| Weights | Open | Open |

## Coding

- Llama 3.2 90B: —
- Phi-4: 34.4 (#239)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| LMArena Coding | — | 1231 |
| BigCodeBench Complete | — | 55.4% |

## Agentic & Tool Use

- Llama 3.2 90B: 30.0 (#80)
- Phi-4: 22.8 (#128)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| BALROG | 27.3% | 11.6% |
| Berkeley Function Calling Leaderboard | — | 28.8% |

## Reasoning

- Llama 3.2 90B: 21.7 (#217)
- Phi-4: 17.7 (#291)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| Epoch Capabilities Index | 125.5 | 130.42 |
| Chess Puzzles | — | 1% |
| EnigmaEval | 0.4% | — |
| LiveBench Reasoning | — | 47.8% |
| LMArena Hard Prompts | — | 1220 |
| LiveBench Data Analysis | — | 45.2% |
| LiveBench | — | 41.6% |

## Math

- Llama 3.2 90B: 11.1 (#308)
- Phi-4: 20.8 (#285)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | 13.8% |
| MATH Level 5 | 39.4% | 64.9% |
| LiveBench Math | — | 42% |
| LMArena Math | — | 1246 |

## Knowledge

- Llama 3.2 90B: 21.7 (#274)
- Phi-4: 32.6 (#209)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| GPQA Diamond | 41% | 56.1% |
| MMLU | 80.3% | 84.8% |
| Confabulations | — | 29.4% |
| Vectara Hallucination Rate | — | 3.7% |
| LMArena Expert | — | 1203 |

## Multimodal

- Llama 3.2 90B: 25.4 (#124)
- Phi-4: —

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |

## Multilingual

- Llama 3.2 90B: —
- Phi-4: 37.2 (#237)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| LMArena Non-English | — | 1197 |
| LMArena Chinese | — | 1212 |
| LMArena French | — | 1224 |
| LMArena German | — | 1222 |
| LMArena Japanese | — | 1158 |
| LMArena Korean | — | 1151 |
| LMArena Russian | — | 1209 |
| LMArena Spanish | — | 1234 |

## Instruction Following

- Llama 3.2 90B: —
- Phi-4: 60.4 (#251)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| LiveBench Instruction Following | — | 58.4% |
| LMArena Instruction Following | — | 1201 |

## Long Context

- Llama 3.2 90B: —
- Phi-4: 36.9 (#226)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| LMArena Longer Query | — | 1217 |

## Writing & Preference

- Llama 3.2 90B: —
- Phi-4: 40.5 (#244)

| Benchmark | Llama 3.2 90B | Phi-4 |
|---|---|---|
| LMArena Text | — | 1217 |
| LMArena Creative Writing | — | 1182 |
| Short-Story Creative Writing | — | 62.6% |
| LMArena Multi-Turn | — | 1206 |
| LiveBench Language | — | 25.6% |

## FAQ

### Is Llama 3.2 90B better than Phi-4?

Phi-4 is the stronger model overall, scoring 31.2 to 27.5 on the Noometry Index.

### How many benchmarks do Llama 3.2 90B and Phi-4 share?

6 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Phi-4 has 37.